Case Study: Tourism Holdings Limited achieves faster, more accurate fleet analytics with Databricks

A Databricks Case Study

Preview of the Tourism Holdings Limited Case Study

Connecting travelers with new road trip adventures

Tourism Holdings Limited (thl), New Zealand’s premier tourism company for camper van and motor home rentals, needed to modernize its data platform as rapid growth, vehicle telematics, and company acquisitions strained its legacy on-premises SQL Server system. The outdated setup caused delayed reporting, data silos, accuracy and security issues, and limited thl’s ability to support analytics and machine learning.

Databricks, implemented through Azure Databricks and Fujitsu Data & AI’s Lakehouse Solution Accelerator, helped thl move to a unified lakehouse architecture with a collaborative interface and lower total cost of ownership. With Databricks, thl can now use operational and telematics data to improve fleet management and daily operations, enabling faster, more reliable analytics and opening the door to ML-driven innovation.


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Tourism Holdings Limited

Krishna Pathri

Head of Data and Insights


Databricks

457 Case Studies